Security Scan Report: correosdecr.web.app

Submitted: Sep 28, 2026, 8:54:06 PMCompleted: Sep 28, 2026, 8:54:40 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Fake Correos de Costa Rica package-tracking page on a non-official web.app subdomain that harvests name, phone and address. Brand impersonation and delivery-fraud pattern; avoid and report.

Risk Factors (4)
Impersonation of a different entity's brand (Correos de Costa Rica) on a non-official domain
Data-harvesting form capturing name, phone and home address under a fraudulent delivery pretext
Hosted on a free shared platform subdomain with unknown creation age, unlike the official national postal service
Reference to unrelated external domain rivelpas.online
Domain age information unavailable

Details

Page Title

Correos

Scan Type

public

Domain Name Analysis

The domain 'correosdecr.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'correosdecr'. Count 3 characters in 'web' with 1 vowel and 2 consonants. Breaking it apart gives 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://correosdecr.web.app

Page Load Overview

0.70s
Total Load Time
147 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:507 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
851.195.5.58Limburg an der Lahn, Hesse, Germany
AS16276OVH SAS
172--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A57233B09221519D4EE7EDA0A9E27F0A30A6CDE7F58FCADC659C089D1FC5BA5C4D0290

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:N/0h+37JXGpf9wSXaD8N//p+mt+6GR+3JtwyWMzbyym9laLvtFM4XMQF4esMGMPu:N/A+dyLXp/MR+3JSyG4FspMzZMAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16614:BD4HCVEwxaRggmYUAISBAABBl4gwdmyLHBEtBISgSiL9DQEDQYFMYIHGxwAv0AkMWKYoDAKCiAkcChCiYEpJwQTEKCQIA4AI

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:7e00dbdfffffff00
Perceptual Hash:dc5443c398bce3e1
Difference Hash:80f03232300a0205
Wavelet Hash:0000909fffffff00
Color Hash:#acd279

Other Hashes

Crop Resistant:80f03232300a0205

Scan History

Scan history not available

Unable to load historical scan data